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        If you use plots from MultiQC in a publication or presentation, please cite:

        MultiQC: Summarize analysis results for multiple tools and samples in a single report
        Philip Ewels, Måns Magnusson, Sverker Lundin and Max Käller
        Bioinformatics (2016)
        doi: 10.1093/bioinformatics/btw354
        PMID: 27312411

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        About MultiQC

        This report was generated using MultiQC, version 1.21

        You can see a YouTube video describing how to use MultiQC reports here: https://youtu.be/qPbIlO_KWN0

        For more information about MultiQC, including other videos and extensive documentation, please visit http://multiqc.info

        You can report bugs, suggest improvements and find the source code for MultiQC on GitHub: https://github.com/MultiQC/MultiQC

        MultiQC is published in Bioinformatics:

        MultiQC: Summarize analysis results for multiple tools and samples in a single report
        Philip Ewels, Måns Magnusson, Sverker Lundin and Max Käller
        Bioinformatics (2016)
        doi: 10.1093/bioinformatics/btw354
        PMID: 27312411

        A modular tool to aggregate results from bioinformatics analyses across many samples into a single report.

        Report generated on 2024-03-07, 08:57 UTC based on data in:

        General Statistics

        Showing 47/47 rows and 2/2 columns.
        Sample Name% AlignedM Aligned
        Sample_24L003948
        75.7%
        13.2M
        Sample_24L003949
        76.5%
        16.7M
        Sample_24L003950
        76.0%
        16.3M
        Sample_24L003951
        76.4%
        15.2M
        Sample_24L003952
        75.7%
        17.1M
        Sample_24L003953
        74.6%
        15.8M
        Sample_24L003954
        75.1%
        16.0M
        Sample_24L003955
        73.9%
        15.1M
        Sample_24L003956
        75.6%
        14.3M
        Sample_24L003957
        75.4%
        17.0M
        Sample_24L003958
        74.9%
        17.6M
        Sample_24L003959
        76.2%
        16.3M
        Sample_24L003960
        75.1%
        15.5M
        Sample_24L003961
        75.1%
        18.7M
        Sample_24L003962
        75.7%
        15.2M
        Sample_24L003963
        74.2%
        17.1M
        Sample_24L003964
        73.1%
        18.0M
        Sample_24L003965
        73.5%
        17.2M
        Sample_24L003966
        71.6%
        16.6M
        Sample_24L003967
        70.7%
        17.1M
        Sample_24L003968
        73.0%
        16.8M
        Sample_24L003969
        72.0%
        16.5M
        Sample_24L003970
        72.3%
        18.0M
        Sample_24L003971
        71.9%
        15.4M
        Sample_24L003972
        75.1%
        17.1M
        Sample_24L003973
        75.0%
        16.8M
        Sample_24L003974
        74.7%
        15.3M
        Sample_24L003975
        74.5%
        15.3M
        Sample_24L003976
        74.6%
        17.5M
        Sample_24L003977
        75.8%
        16.8M
        Sample_24L003978
        75.2%
        16.3M
        Sample_24L003979
        74.3%
        16.3M
        Sample_24L003980
        74.0%
        17.1M
        Sample_24L003981
        73.2%
        13.9M
        Sample_24L003982
        73.1%
        13.4M
        Sample_24L003983
        74.3%
        15.5M
        Sample_24L003984
        74.2%
        15.8M
        Sample_24L003985
        73.8%
        16.7M
        Sample_24L003986
        75.0%
        15.7M
        Sample_24L003987
        72.8%
        17.3M
        Sample_24L003988
        73.0%
        15.5M
        Sample_24L003989
        73.2%
        16.4M
        Sample_24L003990
        73.8%
        15.6M
        Sample_24L003991
        73.5%
        11.6M
        Sample_24L003992
        74.4%
        14.5M
        Sample_24L003993
        73.6%
        17.3M
        Sample_24L003994
        75.0%
        18.6M

        STAR

        STAR is an ultrafast universal RNA-seq aligner.DOI: 10.1093/bioinformatics/bts635.

        Alignment Scores

        Created with MultiQC

        MultiQC v1.21 - Written by Phil Ewels, available on GitHub.

        This report uses HighCharts, jQuery, jQuery UI, Bootstrap, FileSaver.js and clipboard.js.